Federated Recommendation and Attribute Unlearning on ML-100K Gender attribute 1.0 (leave-one-out)
67.03HR@10Original
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| OriginalBackbone=FedVAE2025.11 | 67.03 | 39.1 | 59.09 | 60.97 | |
| FedAU2Backbone=FedVAE2025.11 | 66.67 | 37.3 | 41.13 | 52.95 | |
| OriginalBackbone=FedNCF2025.11 | 63.92 | 36.34 | 59.82 | 60.68 | |
| FedAU2Backbone=FedNCF2025.11 | 61.54 | 34.47 | 49.92 | 50.26 | |
| APMBackbone=FedNCF2025.11 | 54.95 | 30.83 | 56.68 | 56.75 | |
| APMBackbone=FedVAE2025.11 | 51.83 | 29.38 | 57.1 | 57.85 | |
| OriginalBackbone=FedRAP2025.11 | 44.14 | 23.85 | 57.89 | 58.53 | |
| FedAU2Backbone=FedRAP2025.11 | 43.59 | 24.73 | 54.9 | 55.08 | |
| APMBackbone=FedRAP2025.11 | 41.21 | 22.49 | 54.11 | 54.85 |